More talks in the program:
09:00 - 10:00
Text classification can be very important in businesses. Some tasks involve a lot of repetitive, prone to errors processes that could be automated. One of those could be whether certain unstructured text data belongs in which category. One example of a list of categories on one side and unstructured text on the other side is a script like Star Wars.
We will look at the characters of Star Wars in python with a Jupyter Notebook. How can you analyze and visualize questions like "Which characters use similar words?", using popular open source libraries? The talk will cover the prediction of which character most probably said a given text with different algorithms, from classical machine learning to neural networks using tensorflow.